DevOps Engineer: Tools, CI/CD & Infra for AI Scale

Cerebras

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Cerebras Systems in the United States is seeking a DevOps/Platform Engineer to enhance CI/CD pipelines and cloud infrastructure. You will help manage artifact lifecycles, automate reviews, and optimize deployments to support rapid AI workloads.

Ideal candidates have 2–5 years in DevOps or software engineering, strong scripting, and experience with AWS and Kubernetes. This role emphasizes reliability, scale, and on-call incident response within the Dev Productivity org.

Qualifications

  • 2–5 years of professional experience in a DevOps, infrastructure, or software engineering role.
  • Familiarity with CI/CD systems and building automated pipelines.
  • Experience with cloud computing platforms (AWS preferred).
  • Understanding of artifact repositories and software packaging concepts.
  • Proficiency with distributed version control (Git) and code review workflows.

Responsibilities

  • Contribute to the development and maintenance of CI/CD pipelines for reliable build, test, and release workflows.
  • Help manage artifact lifecycle systems including versioning, storage, and distribution for reproducible builds.
  • Partner with teams to design and improve code review workflows, branching, and automated integration.
  • Provision, monitor, and optimize cloud infrastructure to balance cost and performance for CI workloads.
  • Troubleshoot build failures and pipeline bottlenecks, driving root-cause analysis and fixes.
  • Contribute to internal build and test infrastructure, tooling, and automation to boost productivity.
  • Support AI tooling efforts to improve developer velocity and engineering throughput.

Skills

DevOps
Infrastructure
Software Eng
AWS
Kubernetes
CI/CD
Git
Linux
Python

Education

BS/MS in Computer Science

Tools

CI/CD Tools
Artifact Repos
Cloud Platforms

Job description

Cerebras Systems in the United States is seeking a DevOps/Platform Engineer to enhance CI/CD pipelines and cloud infrastructure. You will help manage artifact lifecycles, automate reviews, and optimize deployments to support rapid AI workloads.

Ideal candidates have 2–5 years in DevOps or software engineering, strong scripting, and experience with AWS and Kubernetes. This role emphasizes reliability, scale, and on-call incident response within the Dev Productivity org.

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